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显微镜科学与教学知识中心

显微镜科学与教学知识中心

显微镜科学与教学知识中心

徕卡显微系统的知识库提供有关显微镜学科的科学研究和教学材料。内容旨在对显微镜初学者、有经验的显微镜操作实践者和使用显微镜的科学家在他们的日常工作和实验有所帮助。这里有探索交互式教程和应用笔记,你可以找到你需要的显微镜的基础知识以及前沿技术——快来加入徕卡显微知识社区,分享您的专业知识!

Advancing Cellular Ultrastructure Research

Freeze-fracture and freeze-etching are useful tools for studying flexible membrane-associated structures such as tight junctions or the enteric glycocalyx. Freeze-fracture and etching are two…

光学相干断层扫描(OCT)引导下角膜手术的临床研讨会

在本记录中,来自新加坡眼科中心的A教授和来自意大利某医院的B教授分享了他们在角膜手术方面的技术经验。在研讨会期间,他们报告了穿透性角膜移植术(PK)、角膜后弹力层内皮移植术(DMEK)、角膜后弹力层剥离自动角膜内皮移植术(DSAEK)和深前板层角膜移植(DALK)病例,分享了他们使用新款眼科显微镜术中OCT解决方案EnFocus的经验。该系统现已成为眼科显微镜的组成部分。

Optimizing THUNDER Platform for High-Content Slide Scanning

With rising demand for full-tissue imaging and the need for FL signal quantitation in diverse biological specimens, the limits on HC imaging technology are tested, while user trainability and…

Visualizing Protein Degradation and Aggregation in the Living Cell

Our guest speaker, Prof Dr Eric Reits, presents his work on neurodegenerative disorders. Reits’ group are experts on the subject of Huntington’s disease and work towards identifying leads for…

Capture life as it happens

With the Leica Nano Workflow, searching for the needle in the haystack is a thing of the past. Take advantage of correlative light and electron microscopy to identify directly the right cell at the…

包括成分分析在内的微观结构表征

Leica Microsystems的多功能正置复合显微镜DM6M配有激光诱导击穿光谱模块,不仅可以分析金相抛光样品,进行晶粒度分析和钢铁夹杂物评级,而且在同一系统上,同时获得关于小到20微米的化学成分的定性组成信息,而无需任何额外的样品制备并且无需将样品转移到电子显微镜。加入我们,看看这个系统的运作。

Life Beyond the Pixels: Deep Learning Methods for Single Cell Analysis

Our guest speaker Prof Dr Peter Horvath presents his work on single cell-based large-scale microscopy experiments. This novel targeting approach includes the use of machine learning models and…

Dissecting Proteomic Heterogeneity of the Tumor Microenvironment

This lecture will highlight cutting edge applications in applying laser microdissection and microscaled quantitative proteomics and phosphoproteomics to uncover exquisite intra- and inter-tumor…

应用于显微术中的人工智能技术网络研讨会

我们展示了使用残差通道注意力网络(RCAN)还原和增强三维延时(4D)荧光显微数据。
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